Haifeng Li

344 total papers · 10.8k total citations
215 papers, 7.4k citations indexed

About

Haifeng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Haifeng Li has authored 215 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 76 papers in Artificial Intelligence and 57 papers in Media Technology. Recurrent topics in Haifeng Li's work include Remote-Sensing Image Classification (46 papers), Domain Adaptation and Few-Shot Learning (32 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Haifeng Li is often cited by papers focused on Remote-Sensing Image Classification (46 papers), Domain Adaptation and Few-Shot Learning (32 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Haifeng Li collaborates with scholars based in China, United States and Canada. Haifeng Li's co-authors include Ling Zhao, Tao Lin, Min Deng, Pu Wang, Yu Liu, Chao Zhang, Chao Tao, Li Chen, Jiawei Zhu and Jian Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Haifeng Li

199 papers receiving 7.3k citations

Hit Papers

T-GCN: A Temporal Graph C... 2017 2026 2020 2023 2019 2020 2017 2021 2022 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Haifeng Li 1.9k 1.9k 1.7k 1.4k 1.4k 215 7.4k
Ryosuke Shibasaki 885 0.5× 1.0k 0.5× 557 0.3× 1.6k 1.2× 1.8k 1.3× 460 7.1k
Shiming Xiang 2.2k 1.1× 466 0.2× 2.7k 1.6× 5.8k 4.1× 348 0.2× 232 9.3k
Min Deng 750 0.4× 1.7k 0.9× 470 0.3× 542 0.4× 1.6k 1.1× 175 4.2k
Chen Chen 1.6k 0.8× 856 0.4× 495 0.3× 1.1k 0.8× 372 0.3× 401 7.6k
Mo Li 846 0.4× 521 0.3× 1.1k 0.6× 997 0.7× 676 0.5× 340 10.8k
Chunhong Pan 1.5k 0.8× 428 0.2× 3.1k 1.8× 5.6k 4.0× 295 0.2× 311 9.6k
Kun Fu 1.4k 0.8× 482 0.3× 3.9k 2.3× 5.6k 3.9× 493 0.4× 284 10.0k
Cheng Wang 1.1k 0.6× 612 0.3× 1.2k 0.7× 3.7k 2.6× 336 0.2× 512 11.0k
A. K. Qin 8.2k 4.2× 412 0.2× 1.0k 0.6× 1.7k 1.2× 249 0.2× 216 13.2k
Tao Lin 697 0.4× 1.7k 0.9× 232 0.1× 336 0.2× 1.1k 0.8× 219 5.9k

Countries citing papers authored by Haifeng Li

Since Specialization
Citations

This map shows the geographic impact of Haifeng Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haifeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Li more than expected).

Fields of papers citing papers by Haifeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haifeng Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haifeng Li. The network helps show where Haifeng Li may publish in the future.

Co-authorship network of co-authors of Haifeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Li. A scholar is included among the top collaborators of Haifeng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haifeng Li. Haifeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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